All Outputs (631)

Anonymity preserving and lightweight multi-medical server authentication protocol for telecare medical information system (2018)
Journal Article
Amin, R., Islam, S. H., Gope, P., Choo, K. K. R., & Tapas, N. (2019). Anonymity preserving and lightweight multi-medical server authentication protocol for telecare medical information system. IEEE Journal of Biomedical and Health Informatics, 23(4), 1749 - 1759. https://doi.org/10.1109/JBHI.2018.2870319

Electronic health systems, such as Telecare Medical Information System (TMIS), allow patients to exchange their health information with a medical center/doctor for diagnosis in real-time, and across borders. Given the sensitive nature of health infor... Read More about Anonymity preserving and lightweight multi-medical server authentication protocol for telecare medical information system.

Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images (2018)
Journal Article
Chen, W., Yang, Z., Cao, F., Yan, Y., Wang, M., Qing, C., & Cheng, Y. (2019). Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images. IET Image Processing, 13(2), 299-306. https://doi.org/10.1049/iet-ipr.2018.5419

Dimensionality reduction is of high importance in hyperspectral data processing, which can effectively reduce the data redundancy and computation time for improved classification accuracy. Band selection and feature extraction methods are two widely... Read More about Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images.

Towards additive manufacturing oriented geometric modeling using implicit functions (2018)
Journal Article
Li, Q., Hong, Q., Qi, Q., Ma, X., Han, X., & Tian, J. (2018). Towards additive manufacturing oriented geometric modeling using implicit functions. Visual Computing for Industry, Biomedicine, and Art, 1(1), Article 9. https://doi.org/10.1186/s42492-018-0009-y

Surface-based geometric modeling has many advantages in terms of visualization and traditional subtractive manufacturing using computer-numerical-control cutting-machine tools. However, it is not an ideal solution for additive manufacturing because t... Read More about Towards additive manufacturing oriented geometric modeling using implicit functions.

Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. (2018)
Presentation / Conference
Atanbori, J., Chen, F., French, A. P., & Pridmore, T. (2018, September). Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. Paper presented at British Machine Vision Conference 2018, BMVC 2018, Northumbria University

© 2018. The copyright of this document resides with its authors. Segmentation is the core of most plant phenotyping applications. Current state-of-the-art plant phenotyping applications rely on deep Convolutional Neural Networks (CNNs). However, thes... Read More about Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN..

An adaptive ensemble approach to ambient intelligence assisted people search (2018)
Journal Article
Xue, D., Wang, X., Zhu, J., Davis, D. N., Wang, B., Zhao, W., …Cheng, Y. (2018). An adaptive ensemble approach to ambient intelligence assisted people search. Applied System Innovation, 1(3), 1-18. https://doi.org/10.3390/asi1030033

Some machine learning algorithms have shown a better overall recognition rate for facial recognition than humans, provided that the models are trained with massive image databases of human faces. However, it is still a challenge to use existing algor... Read More about An adaptive ensemble approach to ambient intelligence assisted people search.

What are the minimal sample size requirements for Mokken scaling? An empirical example with the Warwick-Edinburgh Mental Well-being Scale (2018)
Journal Article
Watson, R., Egberink, I. J., Kirke, L., Tendeiro, J. N., & Doyle, F. (in press). What are the minimal sample size requirements for Mokken scaling? An empirical example with the Warwick-Edinburgh Mental Well-being Scale. Health Psychology and Behavioral Medicine, 6(1), 203-213. https://doi.org/10.1080/21642850.2018.1505520

Purpose Sample size in Mokken scales is mostly studied on simulated data, reflected in the lack of consideration of sample size in most Mokken scaling studies. Recently, Straat et al. (2014) provided minimum sample size requirements for Mokken scale... Read More about What are the minimal sample size requirements for Mokken scaling? An empirical example with the Warwick-Edinburgh Mental Well-being Scale.

Thin Implicit Utah Teapot: Design for Additive Manufacturing (2018)
Conference Proceeding
Qi, Q., & Li, Q. (2018). Thin Implicit Utah Teapot: Design for Additive Manufacturing. In 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (1933-1940). https://doi.org/10.1109/Cybermatics_2018.2018.00320

© 2018 IEEE. Converting a surface-based geometric object into a thin solid is an essential requirement for additive manufacturing. Although offset surface and thickening techniques have been widely used for this task, it is in general difficult to mo... Read More about Thin Implicit Utah Teapot: Design for Additive Manufacturing.

Explicit Modelling and Treatment of Repair in Prediction of Dependability (2018)
Journal Article
Aizpurua, J. I., Papadopoulos, Y., & Merle, G. (2018). Explicit Modelling and Treatment of Repair in Prediction of Dependability. IEEE Transactions on Dependable and Secure Computing, 17(6), 1147-1162. https://doi.org/10.1109/TDSC.2018.2857810

In engineering practice, multiple repair actions are considered carefully by designers, and their success or failure defines further control actions and the evolution of the system state. Such treatment is not fully supported by the current state-of-... Read More about Explicit Modelling and Treatment of Repair in Prediction of Dependability.

Classification of bird species from video using appearance and motion features (2018)
Journal Article
Atanbori, J., Duan, W., Shaw, E., Appiah, K., & Dickinson, P. (2018). Classification of bird species from video using appearance and motion features. Ecological informatics, 48, 12-23. https://doi.org/10.1016/j.ecoinf.2018.07.005

The monitoring of bird populations can provide important information on the state of sensitive ecosystems; however, the manual collection of reliable population data is labour-intensive, time-consuming, and potentially error prone. Automated monitori... Read More about Classification of bird species from video using appearance and motion features.

A hybrid active contour segmentation method for myocardial D-SPECT images (2018)
Journal Article
Huang, C., Shan, X., Lan, Y., Liu, L., Cai, H., Che, W., …Peng, Y. (2018). A hybrid active contour segmentation method for myocardial D-SPECT images. IEEE Access, 6, 39334-39343. https://doi.org/10.1109/ACCESS.2018.2855060

Ischaemic heart disease has become one of the leading causes of mortality worldwide. Dynamic single-photon emission computed tomography (D-SPECT) is an advanced routine diagnostic tool commonly used to validate myocardial function in patients sufferi... Read More about A hybrid active contour segmentation method for myocardial D-SPECT images.

Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data (2018)
Journal Article
Yu, K., Liu, Y., Qing, L., Wang, B., & Cheng, Y. (2018). Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data. IEEE Access, 6, 37568-37580. https://doi.org/10.1109/ACCESS.2018.2852008

With the rapid development of wireless communication and mobile Internet, mobile phone becomes ubiquitous and functions as a versatile and smart system, on which people frequently interact with various mobile applications (Apps). Understanding human... Read More about Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data.

Advanced sliding mode control techniques for Inverted Pendulum: Modelling and simulation (2018)
Journal Article
Irfan, S., Mehmood, A., Razzaq, M. T., & Iqbal, J. (2018). Advanced sliding mode control techniques for Inverted Pendulum: Modelling and simulation. Engineering Science and Technology : an International Journal, 21(4), 753-759. https://doi.org/10.1016/j.jestch.2018.06.010

Numerous practical applications like robot balancing, segway and hover board riding and operation of a rocket propeller are inherently based on Inverted Pendulum (IP). The control of an IP is a sophisticated problem due to various real world phenomen... Read More about Advanced sliding mode control techniques for Inverted Pendulum: Modelling and simulation.

P-CSREC: A New Approach for Personalized Cloud Service Recommendation (2018)
Journal Article
Zhang, C., Li, Z., Li, T., Han, Y., Wei, C., Cheng, Y., & Peng, Y. (2018). P-CSREC: A New Approach for Personalized Cloud Service Recommendation. IEEE Access, 6, 35946-35956. https://doi.org/10.1109/ACCESS.2018.2847631

It is becoming a challenging issue for users to choose a satisfied service to fit their need due to the rapid growing number of cloud services and the vast amount of service type varieties. This paper proposes an effective cloud service recommendatio... Read More about P-CSREC: A New Approach for Personalized Cloud Service Recommendation.

Taxi model of unmanned aerial vehicle: Formulation and simulation (2018)
Conference Proceeding
Wasim, M., Ullah, M., & Iqbal, J. (2018). Taxi model of unmanned aerial vehicle: Formulation and simulation. In 2018 1st International Conference on Power, Energy and Smart Grid (ICPESG). https://doi.org/10.1109/ICPESG.2018.8384506

Unmanned Aerial Vehicles cannot work efficiently without a control system. Before any form of control is applied to it, modeling of the system is necessary. This work focuses on the development of a Taxi model of UAV. The reformulated model has been... Read More about Taxi model of unmanned aerial vehicle: Formulation and simulation.

Lightweight and privacy-preserving two-factor authentication scheme for IoT devices (2018)
Journal Article
Gope, P., & Sikdar, B. (2019). Lightweight and privacy-preserving two-factor authentication scheme for IoT devices. IEEE internet of things journal, 6(1), 580 - 589. https://doi.org/10.1109/JIOT.2018.2846299

Device authentication is an essential security feature for Internet of Things (IoT). Many IoT devices are deployed in the open and public places, which makes them vulnerable to physical and cloning attacks. Therefore, any authentication protocol desi... Read More about Lightweight and privacy-preserving two-factor authentication scheme for IoT devices.

Uncertainty-aware dynamic reliability analysis framework for complex systems (2018)
Journal Article
Kabir, S., Yazdi, M., Aizpurua, J. I., & Papadopoulos, Y. (2018). Uncertainty-aware dynamic reliability analysis framework for complex systems. IEEE Access, 6, Article ACCESS2843166. https://doi.org/10.1109/ACCESS.2018.2843166

Critical technological systems exhibit complex dynamic characteristics such as time-dependent behaviour, functional dependencies among events, sequencing and priority of causes that may alter the effects of failure. Dynamic fault trees (DFTs) have be... Read More about Uncertainty-aware dynamic reliability analysis framework for complex systems.

Privacy-aware authenticated key agreement scheme for secure smart grid communication (2018)
Journal Article
Gope, P., & Sikdar, B. (2019). Privacy-aware authenticated key agreement scheme for secure smart grid communication. IEEE transactions on smart grid, 10(4), 3953 - 3962. https://doi.org/10.1109/TSG.2018.2844403

Information and Communication Technologies (ICT) are one of the underpinning platforms of smart grids, facilitating efficient grid management and operation, optimization of resource utilization, as well as enable new products, features, and services.... Read More about Privacy-aware authenticated key agreement scheme for secure smart grid communication.

Prior knowledge-based deep learning method for indoor object recognition and application (2018)
Journal Article
Ding, X., Luo, Y., Li, Q., Cheng, Y., Cai, G., Munnoch, R., …Wang, B. (2018). Prior knowledge-based deep learning method for indoor object recognition and application. Systems Science and Control Engineering, 6(1), 249-257. https://doi.org/10.1080/21642583.2018.1482477

Indoor object recognition is a key task for indoor navigation by mobile robots. Although previous work has produced impressive results in recognizing known and familiar objects, the research of indoor object recognition for robot is still insufficien... Read More about Prior knowledge-based deep learning method for indoor object recognition and application.

A review of applications of fuzzy sets to safety and reliability engineering (2018)
Journal Article
Kabir, S., & Papadopoulos, Y. (2018). A review of applications of fuzzy sets to safety and reliability engineering. International Journal of Approximate Reasoning, 100, 29-55. https://doi.org/10.1016/j.ijar.2018.05.005

Safety and reliability are rigorously assessed during the design of dependable systems. Probabilistic risk assessment (PRA) processes are comprehensive, structured and logical methods widely used for this purpose. PRA approaches include, but not limi... Read More about A review of applications of fuzzy sets to safety and reliability engineering.

A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum (2018)
Journal Article
Huang, C., Zhou, W., Lan, Y., Chen, F., Hao, Y., Cheng, Y., & Peng, Y. (2018). A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum. IEEE Access, 6, 27726-27735. https://doi.org/10.1109/ACCESS.2018.2840494

With the arrival of the Web 2.0 era and the rapid development of virtual reality (VR) technology in recent years, WebVR technology has emerged as the combination of Web 2.0 and VR. Moreover, the concept of “WebVR + medical science”is also proposed to... Read More about A novel WebVR-Based lightweight framework for virtual visualization of blood vasculum.